Proposed Internal Data Base Structure for Digital Bathymetric Data Base Production

Abstract

The Naval Ocean Research and Development Activity was tasked and sponsored by the Naval Oceanographic Office to develop a com uter model that would support the storage that are used to support the Ocean Survey Program. These data points are stored at a resolution that is beyond the noise level induced by the collection sensors. Gridding this bathymetric data to an acceptable resolution of 0.1 minutes for areas of actual coverage can greatly reduce storage requirements. Further reductions can be achieved through the use of the compression algorithms developed as a result of this project. An overall compression ratio of 500 to 1 was demonstrated using actual data supplied by the Naval Oceanographic Office.Once the data base is reduced in size to a manageable level, relational data base management systems become practical for organizing information related to the bathymetry in order to provide easy multi-keyed access. The Structured Query Language, a de facto standard for data base retrieval, can be used to uery the data base to obtain tables of path names suggested format for these files and t ! e relational data base structure is presented in this report.